Analysis of operational safety risks in shipbuilding using failure mode and effect analysis approach

Efe, Burak

doi:10.1016/j.oceaneng.2019.106214

Cited by 41 publications

(23 citation statements)

References 23 publications

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“…According to Seker et al [ 22 ], human-related factors were mainly represented in the aspects of individual competence, sociological, psychological and physiological. Based on the investigation of shipyard accidents statistically, Barlas and Izci [ 11 ] found that human-related factors were the main reasons for shipyard accidents, such as low education and training, being tired and sleepy, overtime and so on, and similar conclusions were also obtained by Efe [ 2 ] who ascribed the main reason for falling from a height accidents to the absence of a safety belt or seat belt during operation. In addition, organizational factors are also important to embed the precautions obtained from accidents analysis into the safety management system [ 26 , 27 ].…”

Section: Introductionmentioning

confidence: 63%

“…Increasing concern about various risks involved in shipyards, especially the risks that are human-related, can be observed [ 1 , 2 ]. Many dangerous operations are carried out at the same time and in the same space, and the risks on site in a shipyard are highly interconnected and harmful [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

“…Njumo [ 15 ] mapped the fault tree analysis (FTA) into formal safety assessment (FSA) to investigate the accident scenario in shipyards. Ozkok [ 8 ] applied failure mode and effect analysis (FMEA) to identify the most risky activities and work stations within a shipyard, and later, the FMEA model was also utilized by Efe [ 2 ] to determine the most three risky scenarios, which were listed as “lack of nets on ship scaffolds”, “utilization the inappropriate ladders” and “empty fire extinguishers”. In addition, the historical data associated with shipyard accidents are widely used by scholars to identify risk events.…”

Section: Introductionmentioning

confidence: 99%

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Human Factor Risk Modeling for Shipyard Operation by Mapping Fuzzy Fault Tree into Bayesian Network

Liu

Qiao

et al. 2021

IJERPH

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The operational activities conducted in a shipyard are exposed to high risk associated with human factors. To investigate human factors involved in shipyard operational accidents, a double-nested model was proposed in the present study. The modified human factor analysis classification system (HFACS) was applied to identify the human factors involved in the accidents, the results of which were then converted into diverse components of a fault tree and, as a result, a single-level nested model was established. For the development of a double-nested model, the structured fault tree was mapped into a Bayesian network (BN), which can be simulated with the obtained prior probabilities of parent nodes and the conditional probability table by fuzzy theory and expert elicitation. Finally, the developed BN model is simulated for various scenarios to analyze the identified human factors by means of structural analysis, path dependencies and sensitivity analysis. The general interpretation of these analysis verify the effectiveness of the proposed methodology to evaluate the human factor risks involved in operational accidents in a shipyard.

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Section: Introductionmentioning

confidence: 63%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Human Factor Risk Modeling for Shipyard Operation by Mapping Fuzzy Fault Tree into Bayesian Network

Liu

Qiao

et al. 2021

IJERPH

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“…In addition, stating that the fuzzy VIKOR method is well compatible with entropy and can well enough discern the table values that make up the sequence, this method has been used to rank the alternatives and select the most suitable tugboat type. Efe 21 examined the failure modes related to occupational accidents in shipbuilding. According to the judgments of the experts, emergence, seriousness, and detecting weights are calculated through the use of intuitionistic fuzzy numbers.…”

Section: Introductionmentioning

confidence: 99%

Selection of marine type air compressor by using fuzzy VIKOR methodology

Kaya¹,

Başhan²,

Üst³

2021

Proceedings of the Institution of Mechanical Engineers, Part M:

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Ships have to maintain many auxiliary machineries with high power consumption, and these machineries generally run continuously for long hours. One of the auxiliary machineries that consume a lot of power in ships is the air compressor. These air compressors are especially important as they are used at the start of the main engine and generator diesel engines. Therefore, a suitable selection of these compressors is vital, in terms of technical requirement, energy efficiency, and cost effectiveness. The main focus of this study is to decide the optimum compressor in terms of all technical and operational criteria. In this context, using the fuzzy VIKOR method, five different and worldwide known compressor brands are listed in terms of selection by evaluating seven different and important criteria. These criteria were evaluated by five experts working as technical directors in shipping companies without being informed of each other. Briefly, this study aims to assist shipping companies in choosing the optimal compressor to suit their primary operating goals, considering the navigating routes and conditions of commercial ships. We believe that it is possible to close this gap in the literature and to select the optimum compressor according to the technical and operational needs.

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“…Despite the simplicity and understandability of the RPN method for the railway train risk analysis and prioritization, it still possesses many drawbacks. The most criticized drawbacks are presented as follows [ 4 , 5 , 6 , 7 ]: The multiplication for the RPN can be questionable and sensitive to the variations in risk factors calculation. Different combination of the risk factor O, S and D can produce the same RPN value, which is not effective in practical risk management.…”

Section: Introductionmentioning

confidence: 99%

An Extended FMEA Model Based on Cumulative Prospect Theory and Type-2 Intuitionistic Fuzzy VIKOR for the Railway Train Risk Prioritization

Qin

Wang

et al. 2020

Entropy

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This paper aims toward the improvement of the limitations of traditional failure mode and effect analysis (FMEA) and examines the crucial failure modes and components for railway train operation. In order to overcome the drawbacks of current FMEA, this paper proposes a novel risk prioritization method based on cumulative prospect theory and type-2 intuitionistic fuzzy VIKOR approach. Type-2 intuitionistic VIKOR handles the combination of the risk factors with their entropy weight. Triangular fuzzy number intuitionistic fuzzy numbers (TFNIFNs) applied as type-2 intuitionistic fuzzy numbers (Type-2 IFNs) are adopted to depict the uncertainty in the risk analysis. Then, cumulative prospect theory is employed to deal with the FMEA team member’s risk sensitiveness and decision-making psychological behavior. Finally, a numerical example of the railway train bogie system is selected to illustrate the application and feasibility of the proposed extended FMEA model in this paper, and a comparison study is also performed to validate the practicability and effectiveness of the novel FMEA model. On this basis, this study can provide guidance for the risk prioritization of railway trains and indicate a direction for further research of risk management of rail traffic.

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Analysis of operational safety risks in shipbuilding using failure mode and effect analysis approach

Cited by 41 publications

References 23 publications

Human Factor Risk Modeling for Shipyard Operation by Mapping Fuzzy Fault Tree into Bayesian Network

Human Factor Risk Modeling for Shipyard Operation by Mapping Fuzzy Fault Tree into Bayesian Network

Selection of marine type air compressor by using fuzzy VIKOR methodology

An Extended FMEA Model Based on Cumulative Prospect Theory and Type-2 Intuitionistic Fuzzy VIKOR for the Railway Train Risk Prioritization

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